Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks
Asynchronous distributed hybrid beamformers (ADBF) are conceived for minimizing the total transmit power subject to signal-to-interference-plus-noise ratio (SINR) constraints at the users. Our design requires only limited information exchange between the base stations (BSs) of the mmWave multi-cell...
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2024-01-01
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| Series: | IEEE Open Journal of Vehicular Technology |
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| Online Access: | https://ieeexplore.ieee.org/document/10380316/ |
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| author | Meesam Jafri Suraj Srivastava Sunil Kumar Aditya K. Jagannatham Lajos Hanzo |
| author_facet | Meesam Jafri Suraj Srivastava Sunil Kumar Aditya K. Jagannatham Lajos Hanzo |
| author_sort | Meesam Jafri |
| collection | DOAJ |
| description | Asynchronous distributed hybrid beamformers (ADBF) are conceived for minimizing the total transmit power subject to signal-to-interference-plus-noise ratio (SINR) constraints at the users. Our design requires only limited information exchange between the base stations (BSs) of the mmWave multi-cell coordinated (MCC) networks considered. To begin with, a semidefinite relaxation (SDR)-based fully-digital (FD) beamformer is designed for a centralized MCC system. Subsequently, a Bayesian learning (BL) technique is harnessed for decomposing the FD beamformer into its analog and baseband components and construct a hybrid transmit precoder (TPC). However, the centralized TPC design requires global channel state information (CSI), hence it results in a high signaling overhead. An alternating direction based method of multipliers (ADMM) technique is developed for a synchronous distributed beamformer (SDBF) design, which relies only on limited information exchange among the BSs, thus reducing the signaling overheads required by the centralized TPC design procedure. However, the SDBF design is challenging, since it requires the updates from the BSs to be strictly synchronized. As a remedy, an ADBF framework is developed that mitigates the inter-cell interference (ICI) and also control the asynchrony in the system. Furthermore, the above ADBF framework is also extended to the robust ADBF (R-ADBF) algorithm that incorporates the CSI uncertainty into the design procedure for minimizing the the worst-case transmit power. Our simulation results illustrate both the enhanced performance and the improved convergence properties of the ADMM-based ADBF and R-ADBF schemes. |
| format | Article |
| id | doaj-art-a81bb1b535ba484e899eff47e0246b1a |
| institution | Kabale University |
| issn | 2644-1330 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-a81bb1b535ba484e899eff47e0246b1a2025-01-30T00:04:21ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302024-01-01520021810.1109/OJVT.2023.334915110380316Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless NetworksMeesam Jafri0https://orcid.org/0000-0002-2052-8254Suraj Srivastava1https://orcid.org/0000-0002-5793-6040Sunil Kumar2https://orcid.org/0009-0009-5563-6552Aditya K. Jagannatham3https://orcid.org/0000-0003-1594-5181Lajos Hanzo4https://orcid.org/0000-0002-2636-5214Indian Institute of Technology Kanpur, Kanpur, UP, IndiaSchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.Indian Institute of Technology Kanpur, Kanpur, UP, IndiaIndian Institute of Technology Kanpur, Kanpur, UP, IndiaSchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.Asynchronous distributed hybrid beamformers (ADBF) are conceived for minimizing the total transmit power subject to signal-to-interference-plus-noise ratio (SINR) constraints at the users. Our design requires only limited information exchange between the base stations (BSs) of the mmWave multi-cell coordinated (MCC) networks considered. To begin with, a semidefinite relaxation (SDR)-based fully-digital (FD) beamformer is designed for a centralized MCC system. Subsequently, a Bayesian learning (BL) technique is harnessed for decomposing the FD beamformer into its analog and baseband components and construct a hybrid transmit precoder (TPC). However, the centralized TPC design requires global channel state information (CSI), hence it results in a high signaling overhead. An alternating direction based method of multipliers (ADMM) technique is developed for a synchronous distributed beamformer (SDBF) design, which relies only on limited information exchange among the BSs, thus reducing the signaling overheads required by the centralized TPC design procedure. However, the SDBF design is challenging, since it requires the updates from the BSs to be strictly synchronized. As a remedy, an ADBF framework is developed that mitigates the inter-cell interference (ICI) and also control the asynchrony in the system. Furthermore, the above ADBF framework is also extended to the robust ADBF (R-ADBF) algorithm that incorporates the CSI uncertainty into the design procedure for minimizing the the worst-case transmit power. Our simulation results illustrate both the enhanced performance and the improved convergence properties of the ADMM-based ADBF and R-ADBF schemes.https://ieeexplore.ieee.org/document/10380316/mmWave MIMOmulti cellcoordinated beamforminginter-cell interferenceCSI uncertainty |
| spellingShingle | Meesam Jafri Suraj Srivastava Sunil Kumar Aditya K. Jagannatham Lajos Hanzo Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks IEEE Open Journal of Vehicular Technology mmWave MIMO multi cell coordinated beamforming inter-cell interference CSI uncertainty |
| title | Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks |
| title_full | Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks |
| title_fullStr | Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks |
| title_full_unstemmed | Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks |
| title_short | Asynchronous Distributed Coordinated Hybrid Precoding in Multi-Cell mmWave Wireless Networks |
| title_sort | asynchronous distributed coordinated hybrid precoding in multi cell mmwave wireless networks |
| topic | mmWave MIMO multi cell coordinated beamforming inter-cell interference CSI uncertainty |
| url | https://ieeexplore.ieee.org/document/10380316/ |
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